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  "title": "GOES-18 ABI full disk",
  "description": "NOAA's GOES-18 Advanced Baseline Imager at 137.0°W, from its open data bucket (the CMIPF full-disk product, one calibrated file per channel per ten-minute scan): the 10.4 µm infrared window as brightness temperature, reprojected from the geostationary view onto a regular 0.04° grid over the useful disk (3000 × 3000 cells, 163°E–77°W, across the antimeridian, 60°S–60°N) and published under ir104, as a rolling window rebuilt every ten minutes; and the classic Dust RGB composite (dustrgb: the 12.3 − 10.4 µm split window, 11.2 − 8.6 µm with a gamma, and the 10.4 µm window, stretched to three guns in 0–1 with the GOES-R Quick Guide's ABI values), computed from the 8.6, 10.4, 11.2 and 12.3 µm windows by the shachen package (Apache-2.0), whose id and version each gun carries as its producer block; and the DEBRA dust confidence (dustcf: the combined confidence factor of Miller et al. 2017, Eqs. 1–22, in 0–1, computed by the same package from the 3.9, 6.2, 8.6, 10.4 and 12.3 µm channels against a clear-sky background modelled from the GFS surface temperature (NOAA NCEP, one record per hour) and the CAMEL emissivity climatology (NASA LP DAAC, CAM5K30EM V003), with a split-window gate; defined over water and over the land an emissivity month is staged for, no data over other land). Source: NOAA NESDIS; the data are unaltered but reprojected, composited and scored, and NOAA does not endorse this site.",
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      "roles": [
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          "2026-09-24T19:50:00Z"
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  "xue:live": "goeswest.2026092414.2007",
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      "rel": "root",
      "href": "../catalog.json",
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      "href": "../catalog.json",
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      "title": "GOES-18 ABI full disk · window from 2026-09-24 14:00Z (beside its manifest; gone when the run is)"
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      "href": "https://registry.opendata.aws/noaa-goes/",
      "type": "text/html",
      "title": "NOAA GOES on AWS: terms of use (attribution requested, no endorsement)"
    },
    {
      "rel": "cite-as",
      "href": "https://doi.org/10.5194/acp-8-6739-2008",
      "type": "text/html",
      "title": "Lensky and Rosenfeld (2008): the SEVIRI RGB suite the Dust RGB comes from"
    },
    {
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      "href": "https://rammb.cira.colostate.edu/training/visit/quick_guides/Dust_RGB_Quick_Guide.pdf",
      "type": "application/pdf",
      "title": "GOES-R Quick Guide: Dust RGB (the band mix and the ABI stretches applied here)"
    },
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      "type": "text/html",
      "title": "Miller et al. (2017): DEBRA-Dust, the algorithm the dust confidence is"
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